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PEM fuel cell modeling and simulation via ...
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Document type :
Communication dans un congrès avec actes
DOI :
10.1109/REDEC.2012.6416713
Title :
PEM fuel cell modeling and simulation via the Takagi-Sugeno Fuzzy model
Author(s) :
Olteanu, Severus [Auteur]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Oueidat, Mohamad [Auteur]
Jouni, Adnan [Auteur]
Conference title :
2012 International Conference on Renewable Energies for Developing Countries (REDEC),
City :
Beyrouth
Country :
Liban
Start date of the conference :
2012-11-28
Book title :
2012 International Conference on Renewable Energies for Developing Countries (REDEC),
Publication date :
2012-11-29
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
In this paper, a dynamic model of the PEMFC(polyelectrolyte membrane fuel cell) based on physical principles is built, in the form of a nonlinear statespace model. The Fuel Cell System (FCS) is a nonlinear system which is ...
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In this paper, a dynamic model of the PEMFC(polyelectrolyte membrane fuel cell) based on physical principles is built, in the form of a nonlinear statespace model. The Fuel Cell System (FCS) is a nonlinear system which is characterized by multiple variables and a strong coupling with profound dynamics. Therefore, it is difficult to apply control theory methods. For this reason, we have approximated the model of FCS by a Takagi-Sugeno Fuzzy model with fuzzy defined regions where the nonlinear system is locally linearized. The dynamics considered are: air compressor, supply and return manifold, anode and cathode flow, humidifier, cooler and stack voltage. Simulation results show that nonlinear system of PEM fuel cell can be approximated by a TS fuzzy model based on nonlinear sectors. The simulations show also that the supply and return manifold pressures and temperatures have significant effects on the dynamics of the PEMFC.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Université de Lille

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